Layui paging effect realizes code sharing

Layui login page jump setting steps: Add jump code: Add judgment in the login form submit button click event, and jump to the specified page through window.location.href after successful login. Modify the form configuration: add a hidden input field to the form element of lay-filter="login", with the name "redirect" and the value being the target page address.

layui provides a variety of methods for obtaining form data, including directly obtaining all field data of the form, obtaining the value of a single form element, using the formAPI.getVal() method to obtain the specified field value, serializing the form data and using it as an AJAX request parameter, and listening Form submission event gets data.

How to implement the WeChat clone function on Huawei mobile phones With the popularity of social software and people's increasing emphasis on privacy and security, the WeChat clone function has gradually become the focus of people's attention. The WeChat clone function can help users log in to multiple WeChat accounts on the same mobile phone at the same time, making it easier to manage and use. It is not difficult to implement the WeChat clone function on Huawei mobile phones. You only need to follow the following steps. Step 1: Make sure that the mobile phone system version and WeChat version meet the requirements. First, make sure that your Huawei mobile phone system version has been updated to the latest version, as well as the WeChat App.

Adaptive layout can be achieved by using the responsive layout function of the layui framework. The steps include: referencing the layui framework. Define an adaptive layout container and set the layui-container class. Use responsive breakpoints (xs/sm/md/lg) to hide elements under specific breakpoints. Specify element width using the grid system (layui-col-). Create spacing via offset (layui-offset-). Use responsive utilities (layui-invisible/show/block/inline) to control the visibility of elements and how they appear.

The difference between layui and Vue is mainly reflected in functions and concerns. Layui focuses on rapid development of UI elements and provides prefabricated components to simplify page construction; Vue is a full-stack framework that focuses on data binding, component development and state management, and is more suitable for building complex applications. Layui is easy to learn and suitable for quickly building pages; Vue has a steep learning curve but helps build scalable and easy-to-maintain applications. Depending on the project needs and developer skill level, the appropriate framework can be selected.

The method of using layui to transmit data is as follows: Use Ajax: Create the request object, set the request parameters (URL, method, data), and process the response. Use built-in methods: Simplify data transfer using built-in methods such as $.post, $.get, $.postJSON, or $.getJSON.

layui is a front-end UI framework that provides a wealth of UI components, tools and functions to help developers quickly build modern, responsive and interactive web applications. Its features include: flexible and lightweight, modular design, rich components, Powerful tools and easy customization. It is widely used in the development of various web applications, including management systems, e-commerce platforms, content management systems, social networks and mobile applications.

Since the launch of ChatGLM-6B on March 14, 2023, the GLM series models have received widespread attention and recognition. Especially after ChatGLM3-6B was open sourced, developers are full of expectations for the fourth-generation model launched by Zhipu AI. This expectation has finally been fully satisfied with the release of GLM-4-9B. The birth of GLM-4-9B In order to give small models (10B and below) more powerful capabilities, the GLM technical team launched this new fourth-generation GLM series open source model: GLM-4-9B after nearly half a year of exploration. This model greatly compresses the model size while ensuring accuracy, and has faster inference speed and higher efficiency. The GLM technical team’s exploration has not